Loading…

The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability

An easy-to-use and reliable tool is essential for gait assessment of people with gait pathologies. This study aimed to assess the reliability and validity of the OneStep smartphone application compared to the C-Mill-VR+ treadmill (Motek, Nederlands), among patients undergoing rehabilitation for unil...

Full description

Saved in:
Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2024-06, Vol.24 (11), p.3594
Main Authors: Marom, Pnina, Brik, Michael, Agay, Nirit, Dankner, Rachel, Katzir, Zoya, Keshet, Naama, Doron, Dana
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue 11
container_start_page 3594
container_title Sensors (Basel, Switzerland)
container_volume 24
creator Marom, Pnina
Brik, Michael
Agay, Nirit
Dankner, Rachel
Katzir, Zoya
Keshet, Naama
Doron, Dana
description An easy-to-use and reliable tool is essential for gait assessment of people with gait pathologies. This study aimed to assess the reliability and validity of the OneStep smartphone application compared to the C-Mill-VR+ treadmill (Motek, Nederlands), among patients undergoing rehabilitation for unilateral lower extremity disability. Spatiotemporal gait parameters were extracted from the treadmill and from two smartphones, one on each leg. Inter-device reliability was evaluated using Pearson correlation, intra-cluster correlation coefficient (ICC), and Cohen's d, comparing the application's readings from the two phones. Validity was assessed by comparing readings from each phone to the treadmill. Twenty-eight patients completed the study; the median age was 45.5 years, and 61% were males. The ICC between the phones showed a high correlation (r = 0.89-1) and good-to-excellent reliability (ICC range, 0.77-1) for all the gait parameters examined. The correlations between the phones and the treadmill were mostly above 0.8. The ICC between each phone and the treadmill demonstrated moderate-to-excellent validity for all the gait parameters (range, 0.58-1). Only 'step length of the impaired leg' showed poor-to-good validity (range, 0.37-0.84). Cohen's d effect size was small (d < 0.5) for all the parameters. The studied application demonstrated good reliability and validity for spatiotemporal gait assessment in patients with unilateral lower limb disability.
doi_str_mv 10.3390/s24113594
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_8bb4d615952f4d3abf68cba2f79b59fc</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A797903570</galeid><doaj_id>oai_doaj_org_article_8bb4d615952f4d3abf68cba2f79b59fc</doaj_id><sourcerecordid>A797903570</sourcerecordid><originalsourceid>FETCH-LOGICAL-d393t-6df88fd3ea8a1cc58f02f030b7d76bbb4b22282f48b3fb667d971a6b975be6963</originalsourceid><addsrcrecordid>eNptkt9uFCEUxidGY2v1whcwJN54s5WB4d-V2bRam2xS03a9JTDALhsGxmFWs6_jk8q4q-0awwVwzseP83Goqtc1PMdYwPcZNXWNiWieVKd1g5oZRwg-fbQ-qV7kvIEQYYz58-oEcy4azOlp9fN-bcGtDV5pH_y4Ayoa8FUFb6ZNcmAs-Zto70bbg7tODWO_TtGCed8H36rRpwhcGsCV8iOYRxV22WeguhRX4EtJ2zhmsIzGDqvkS-zWrvc3PRxdRh_UaAcVwCL9sANY-E6DS58PJb2snjkVsn11mM-q5aeP9xefZ4ubq-uL-WJmsMDjjBrHuTPYKq7qtiXcQeQghpoZRrXWjUYIceQarrHTlDIjWK2oFoxoSwXFZ9X1nmuS2sh-8MXtTibl5e9AGlay2PdtsJIXnKE1EaTwDFbaUd5qhRwTmgjXFtaHPavf6s6atjxD8XcEPc5Ev5ar9F3Wdc0IJqQQ3h0IQ_q2tXmUnc-tDUFFm7ZZYsggh4ihqfC3_0g3aTuUXkwqyhrMaAMfVCtVHPjoUrm4naByzgQTEBM2qc7_oyrD2M63pfPOl_jRgTePnf61-OeL4V-EYdQs</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3067437640</pqid></control><display><type>article</type><title>The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>PubMed Central(OpenAccess)</source><creator>Marom, Pnina ; Brik, Michael ; Agay, Nirit ; Dankner, Rachel ; Katzir, Zoya ; Keshet, Naama ; Doron, Dana</creator><creatorcontrib>Marom, Pnina ; Brik, Michael ; Agay, Nirit ; Dankner, Rachel ; Katzir, Zoya ; Keshet, Naama ; Doron, Dana</creatorcontrib><description>An easy-to-use and reliable tool is essential for gait assessment of people with gait pathologies. This study aimed to assess the reliability and validity of the OneStep smartphone application compared to the C-Mill-VR+ treadmill (Motek, Nederlands), among patients undergoing rehabilitation for unilateral lower extremity disability. Spatiotemporal gait parameters were extracted from the treadmill and from two smartphones, one on each leg. Inter-device reliability was evaluated using Pearson correlation, intra-cluster correlation coefficient (ICC), and Cohen's d, comparing the application's readings from the two phones. Validity was assessed by comparing readings from each phone to the treadmill. Twenty-eight patients completed the study; the median age was 45.5 years, and 61% were males. The ICC between the phones showed a high correlation (r = 0.89-1) and good-to-excellent reliability (ICC range, 0.77-1) for all the gait parameters examined. The correlations between the phones and the treadmill were mostly above 0.8. The ICC between each phone and the treadmill demonstrated moderate-to-excellent validity for all the gait parameters (range, 0.58-1). Only 'step length of the impaired leg' showed poor-to-good validity (range, 0.37-0.84). Cohen's d effect size was small (d &lt; 0.5) for all the parameters. The studied application demonstrated good reliability and validity for spatiotemporal gait assessment in patients with unilateral lower limb disability.</description><identifier>ISSN: 1424-8220</identifier><identifier>EISSN: 1424-8220</identifier><identifier>DOI: 10.3390/s24113594</identifier><identifier>PMID: 38894386</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adult ; Aged ; Clinical medicine ; Comparative analysis ; Disability ; Disabled Persons - rehabilitation ; Electronic health records ; Exercise equipment ; Exercise Test - methods ; Female ; Fitness equipment ; Gait ; Gait - physiology ; gait analysis ; Gait Analysis - instrumentation ; Gait Analysis - methods ; gait dysfunction ; Handicapped accessibility ; Humans ; Laboratories ; Lower Extremity - physiology ; Lower Extremity - physiopathology ; Male ; Medical research ; Medicine, Experimental ; Middle Aged ; Mobile Applications ; Pain ; Patients ; Rehabilitation ; reliability ; Reproducibility of Results ; Sensors ; Smart phones ; Smartphone ; smartphone application ; Smartphones ; Validity ; Walking</subject><ispartof>Sensors (Basel, Switzerland), 2024-06, Vol.24 (11), p.3594</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 by the authors. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-3974-4539 ; 0009-0007-3294-2931 ; 0000-0001-5740-0919 ; 0000-0001-6454-6000</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3067437640/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3067437640?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38894386$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Marom, Pnina</creatorcontrib><creatorcontrib>Brik, Michael</creatorcontrib><creatorcontrib>Agay, Nirit</creatorcontrib><creatorcontrib>Dankner, Rachel</creatorcontrib><creatorcontrib>Katzir, Zoya</creatorcontrib><creatorcontrib>Keshet, Naama</creatorcontrib><creatorcontrib>Doron, Dana</creatorcontrib><title>The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability</title><title>Sensors (Basel, Switzerland)</title><addtitle>Sensors (Basel)</addtitle><description>An easy-to-use and reliable tool is essential for gait assessment of people with gait pathologies. This study aimed to assess the reliability and validity of the OneStep smartphone application compared to the C-Mill-VR+ treadmill (Motek, Nederlands), among patients undergoing rehabilitation for unilateral lower extremity disability. Spatiotemporal gait parameters were extracted from the treadmill and from two smartphones, one on each leg. Inter-device reliability was evaluated using Pearson correlation, intra-cluster correlation coefficient (ICC), and Cohen's d, comparing the application's readings from the two phones. Validity was assessed by comparing readings from each phone to the treadmill. Twenty-eight patients completed the study; the median age was 45.5 years, and 61% were males. The ICC between the phones showed a high correlation (r = 0.89-1) and good-to-excellent reliability (ICC range, 0.77-1) for all the gait parameters examined. The correlations between the phones and the treadmill were mostly above 0.8. The ICC between each phone and the treadmill demonstrated moderate-to-excellent validity for all the gait parameters (range, 0.58-1). Only 'step length of the impaired leg' showed poor-to-good validity (range, 0.37-0.84). Cohen's d effect size was small (d &lt; 0.5) for all the parameters. The studied application demonstrated good reliability and validity for spatiotemporal gait assessment in patients with unilateral lower limb disability.</description><subject>Adult</subject><subject>Aged</subject><subject>Clinical medicine</subject><subject>Comparative analysis</subject><subject>Disability</subject><subject>Disabled Persons - rehabilitation</subject><subject>Electronic health records</subject><subject>Exercise equipment</subject><subject>Exercise Test - methods</subject><subject>Female</subject><subject>Fitness equipment</subject><subject>Gait</subject><subject>Gait - physiology</subject><subject>gait analysis</subject><subject>Gait Analysis - instrumentation</subject><subject>Gait Analysis - methods</subject><subject>gait dysfunction</subject><subject>Handicapped accessibility</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Lower Extremity - physiology</subject><subject>Lower Extremity - physiopathology</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Middle Aged</subject><subject>Mobile Applications</subject><subject>Pain</subject><subject>Patients</subject><subject>Rehabilitation</subject><subject>reliability</subject><subject>Reproducibility of Results</subject><subject>Sensors</subject><subject>Smart phones</subject><subject>Smartphone</subject><subject>smartphone application</subject><subject>Smartphones</subject><subject>Validity</subject><subject>Walking</subject><issn>1424-8220</issn><issn>1424-8220</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkt9uFCEUxidGY2v1whcwJN54s5WB4d-V2bRam2xS03a9JTDALhsGxmFWs6_jk8q4q-0awwVwzseP83Goqtc1PMdYwPcZNXWNiWieVKd1g5oZRwg-fbQ-qV7kvIEQYYz58-oEcy4azOlp9fN-bcGtDV5pH_y4Ayoa8FUFb6ZNcmAs-Zto70bbg7tODWO_TtGCed8H36rRpwhcGsCV8iOYRxV22WeguhRX4EtJ2zhmsIzGDqvkS-zWrvc3PRxdRh_UaAcVwCL9sANY-E6DS58PJb2snjkVsn11mM-q5aeP9xefZ4ubq-uL-WJmsMDjjBrHuTPYKq7qtiXcQeQghpoZRrXWjUYIceQarrHTlDIjWK2oFoxoSwXFZ9X1nmuS2sh-8MXtTibl5e9AGlay2PdtsJIXnKE1EaTwDFbaUd5qhRwTmgjXFtaHPavf6s6atjxD8XcEPc5Ev5ar9F3Wdc0IJqQQ3h0IQ_q2tXmUnc-tDUFFm7ZZYsggh4ihqfC3_0g3aTuUXkwqyhrMaAMfVCtVHPjoUrm4naByzgQTEBM2qc7_oyrD2M63pfPOl_jRgTePnf61-OeL4V-EYdQs</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Marom, Pnina</creator><creator>Brik, Michael</creator><creator>Agay, Nirit</creator><creator>Dankner, Rachel</creator><creator>Katzir, Zoya</creator><creator>Keshet, Naama</creator><creator>Doron, Dana</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3974-4539</orcidid><orcidid>https://orcid.org/0009-0007-3294-2931</orcidid><orcidid>https://orcid.org/0000-0001-5740-0919</orcidid><orcidid>https://orcid.org/0000-0001-6454-6000</orcidid></search><sort><creationdate>20240601</creationdate><title>The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability</title><author>Marom, Pnina ; Brik, Michael ; Agay, Nirit ; Dankner, Rachel ; Katzir, Zoya ; Keshet, Naama ; Doron, Dana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d393t-6df88fd3ea8a1cc58f02f030b7d76bbb4b22282f48b3fb667d971a6b975be6963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Clinical medicine</topic><topic>Comparative analysis</topic><topic>Disability</topic><topic>Disabled Persons - rehabilitation</topic><topic>Electronic health records</topic><topic>Exercise equipment</topic><topic>Exercise Test - methods</topic><topic>Female</topic><topic>Fitness equipment</topic><topic>Gait</topic><topic>Gait - physiology</topic><topic>gait analysis</topic><topic>Gait Analysis - instrumentation</topic><topic>Gait Analysis - methods</topic><topic>gait dysfunction</topic><topic>Handicapped accessibility</topic><topic>Humans</topic><topic>Laboratories</topic><topic>Lower Extremity - physiology</topic><topic>Lower Extremity - physiopathology</topic><topic>Male</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Middle Aged</topic><topic>Mobile Applications</topic><topic>Pain</topic><topic>Patients</topic><topic>Rehabilitation</topic><topic>reliability</topic><topic>Reproducibility of Results</topic><topic>Sensors</topic><topic>Smart phones</topic><topic>Smartphone</topic><topic>smartphone application</topic><topic>Smartphones</topic><topic>Validity</topic><topic>Walking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marom, Pnina</creatorcontrib><creatorcontrib>Brik, Michael</creatorcontrib><creatorcontrib>Agay, Nirit</creatorcontrib><creatorcontrib>Dankner, Rachel</creatorcontrib><creatorcontrib>Katzir, Zoya</creatorcontrib><creatorcontrib>Keshet, Naama</creatorcontrib><creatorcontrib>Doron, Dana</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals(OpenAccess)</collection><jtitle>Sensors (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Marom, Pnina</au><au>Brik, Michael</au><au>Agay, Nirit</au><au>Dankner, Rachel</au><au>Katzir, Zoya</au><au>Keshet, Naama</au><au>Doron, Dana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability</atitle><jtitle>Sensors (Basel, Switzerland)</jtitle><addtitle>Sensors (Basel)</addtitle><date>2024-06-01</date><risdate>2024</risdate><volume>24</volume><issue>11</issue><spage>3594</spage><pages>3594-</pages><issn>1424-8220</issn><eissn>1424-8220</eissn><abstract>An easy-to-use and reliable tool is essential for gait assessment of people with gait pathologies. This study aimed to assess the reliability and validity of the OneStep smartphone application compared to the C-Mill-VR+ treadmill (Motek, Nederlands), among patients undergoing rehabilitation for unilateral lower extremity disability. Spatiotemporal gait parameters were extracted from the treadmill and from two smartphones, one on each leg. Inter-device reliability was evaluated using Pearson correlation, intra-cluster correlation coefficient (ICC), and Cohen's d, comparing the application's readings from the two phones. Validity was assessed by comparing readings from each phone to the treadmill. Twenty-eight patients completed the study; the median age was 45.5 years, and 61% were males. The ICC between the phones showed a high correlation (r = 0.89-1) and good-to-excellent reliability (ICC range, 0.77-1) for all the gait parameters examined. The correlations between the phones and the treadmill were mostly above 0.8. The ICC between each phone and the treadmill demonstrated moderate-to-excellent validity for all the gait parameters (range, 0.58-1). Only 'step length of the impaired leg' showed poor-to-good validity (range, 0.37-0.84). Cohen's d effect size was small (d &lt; 0.5) for all the parameters. The studied application demonstrated good reliability and validity for spatiotemporal gait assessment in patients with unilateral lower limb disability.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>38894386</pmid><doi>10.3390/s24113594</doi><orcidid>https://orcid.org/0000-0002-3974-4539</orcidid><orcidid>https://orcid.org/0009-0007-3294-2931</orcidid><orcidid>https://orcid.org/0000-0001-5740-0919</orcidid><orcidid>https://orcid.org/0000-0001-6454-6000</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1424-8220
ispartof Sensors (Basel, Switzerland), 2024-06, Vol.24 (11), p.3594
issn 1424-8220
1424-8220
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_8bb4d615952f4d3abf68cba2f79b59fc
source Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central(OpenAccess)
subjects Adult
Aged
Clinical medicine
Comparative analysis
Disability
Disabled Persons - rehabilitation
Electronic health records
Exercise equipment
Exercise Test - methods
Female
Fitness equipment
Gait
Gait - physiology
gait analysis
Gait Analysis - instrumentation
Gait Analysis - methods
gait dysfunction
Handicapped accessibility
Humans
Laboratories
Lower Extremity - physiology
Lower Extremity - physiopathology
Male
Medical research
Medicine, Experimental
Middle Aged
Mobile Applications
Pain
Patients
Rehabilitation
reliability
Reproducibility of Results
Sensors
Smart phones
Smartphone
smartphone application
Smartphones
Validity
Walking
title The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T15%3A54%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Reliability%20and%20Validity%20of%20the%20OneStep%20Smartphone%20Application%20for%20Gait%20Analysis%20among%20Patients%20Undergoing%20Rehabilitation%20for%20Unilateral%20Lower%20Limb%20Disability&rft.jtitle=Sensors%20(Basel,%20Switzerland)&rft.au=Marom,%20Pnina&rft.date=2024-06-01&rft.volume=24&rft.issue=11&rft.spage=3594&rft.pages=3594-&rft.issn=1424-8220&rft.eissn=1424-8220&rft_id=info:doi/10.3390/s24113594&rft_dat=%3Cgale_doaj_%3EA797903570%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-d393t-6df88fd3ea8a1cc58f02f030b7d76bbb4b22282f48b3fb667d971a6b975be6963%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3067437640&rft_id=info:pmid/38894386&rft_galeid=A797903570&rfr_iscdi=true